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The glioblastoma microenvironment: Morphology, metabolism, and molecular signature of glial dynamics to discover metabolic rewiring sequence

Authors :
Virtuoso, A
Giovannoni, R
De Luca, C
Gargano, F
Cerasuolo, M
Maggio, N
Lavitrano, M
Papa, M
Virtuoso A.
Giovannoni R.
De Luca C.
Gargano F.
Cerasuolo M.
Maggio N.
Lavitrano M.
Papa M.
Virtuoso, A
Giovannoni, R
De Luca, C
Gargano, F
Cerasuolo, M
Maggio, N
Lavitrano, M
Papa, M
Virtuoso A.
Giovannoni R.
De Luca C.
Gargano F.
Cerasuolo M.
Maggio N.
Lavitrano M.
Papa M.
Publication Year :
2021

Abstract

Different functional states determine glioblastoma (GBM) heterogeneity. Brain cancer cells coexist with the glial cells in a functional syncytium based on a continuous metabolic rewiring. However, standard glioma therapies do not account for the effects of the glial cells within the tumor microenvironment. This may be a possible reason for the lack of improvements in patients with high-grade gliomas therapies. Cell metabolism and bioenergetic fitness depend on the availability of nutrients and interactions in the microenvironment. It is strictly related to the cell location in the tumor mass, proximity to blood vessels, biochemical gradients, and tumor evolution, underlying the influence of the context and the timeline in anti-tumor therapeutic approaches. Besides the cancer metabolic strategies, here we review the modifications found in the GBM-associated glia, focusing on morphological, molecular, and metabolic features. We propose to analyze the GBM metabolic rewiring processes from a systems biology perspective. We aim at defining the crosstalk between GBM and the glial cells as modules. The complex networking may be expressed by metabolic modules corresponding to the GBM growth and spreading phases. Variation in the oxidative phosphorylation (OXPHOS) rate and regulation appears to be the most important part of the metabolic and functional heterogeneity, correlating with glycolysis and response to hypoxia. Integrated metabolic modules along with molecular and morphological features could allow the identification of key factors for controlling the GBM-stroma metabolism in multi-targeted, time-dependent therapies.

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1308939700
Document Type :
Electronic Resource